A meta-analysis of crop response patterns to nitrogen limitation for improved model representation
dc.bibliographicCitation.firstPage | e0223508 | eng |
dc.bibliographicCitation.issue | 10 | eng |
dc.bibliographicCitation.journalTitle | PLOS ONE | eng |
dc.bibliographicCitation.volume | 14 | eng |
dc.contributor.author | Seufert, Verena | |
dc.contributor.author | Granath, Gustaf | |
dc.contributor.author | Müller, Christoph | |
dc.date.accessioned | 2021-12-13T06:44:25Z | |
dc.date.available | 2021-12-13T06:44:25Z | |
dc.date.issued | 2019 | |
dc.description.abstract | The representation of carbon-nitrogen (N) interactions in global models of the natural or managed land surface remains an important knowledge gap. To improve global process-based models we require a better understanding of how N limitation affects photosynthesis and plant growth. Here we present the findings of a meta-analysis to quantitatively assess the impact of N limitation on source (photosynthate production) versus sink (photosynthate use) activity, based on 77 highly controlled experimental N availability studies on 11 crop species. Using meta-regressions, we find that it can be insufficient to represent N limitation in models merely as inhibiting carbon assimilation, because in crops complete N limitation more strongly influences leaf area expansion (-50%) than photosynthesis (-34%), while leaf starch is accumulating (+83%). Our analysis thus offers support for the hypothesis of sink limitation of photosynthesis and encourages the exploration of more sink-driven crop modelling approaches. We also show that leaf N concentration changes with N availability and that the allocation of N to Rubisco is reduced more strongly compared to other photosynthetic proteins at low N availability. Furthermore, our results suggest that different crop species show generally similar response patterns to N limitation, with the exception of leguminous crops, which respond differently. Our meta-analysis offers lessons for the improved depiction of N limitation in global terrestrial ecosystem models, as well as highlights knowledge gaps that need to be filled by future experimental studies on crop N limitation response. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/7689 | |
dc.identifier.uri | https://doi.org/10.34657/6736 | |
dc.language.iso | eng | eng |
dc.publisher | San Francisco, California, US : PLOS | eng |
dc.relation.doi | https://doi.org/10.1371/journal.pone.0223508 | |
dc.relation.essn | 1932-6203 | |
dc.rights.license | CC BY 4.0 Unported | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | eng |
dc.subject.ddc | 500 | eng |
dc.subject.ddc | 610 | eng |
dc.subject.other | carbon-nitrogen (N) interactions | eng |
dc.subject.other | N limitation affects | eng |
dc.subject.other | photosynthate production | eng |
dc.title | A meta-analysis of crop response patterns to nitrogen limitation for improved model representation | eng |
dc.type | Article | eng |
dc.type | Text | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | PIK | eng |
wgl.subject | Medizin, Gesundheit | eng |
wgl.type | Zeitschriftenartikel | eng |
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